Ontology-conformal recognition of materials entities using language models

Ontology-conformal recognition of materials entities using language models

Abstract Extracting structured and semantically annotated materials information from unstructured scientific literature is a crucial step toward constructing machine-interpretable knowledge graphs and accelerating data-driven materials research. This is especially important in materials science, whi...

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Main Authors: Sai Teja Potu, Rachana Niranjan Murthy, Akhil Thomas, Lokesh Mishra, Natalie Prange, Ali Riza Durmaz
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Materials science
Fatigue
Large Language models
Named entity recognition
Parameter-efficient fine-tuning
Foundation models
Online Access:https://doi.org/10.1038/s41598-025-03619-y
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https://doi.org/10.1038/s41598-025-03619-y

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